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Structural Equation Modeling: Advanced Longitudinal Modeling
Five-day Course • June 10 - 14, 2013• Lawrence, Kansas
Presented by the Quantitative Training Program of Psychology and the Center for Research Methods and Data Analysis at the University of Kansas.
Institute Overview
This five-day summer institute, sponsored by the University of Kansas Research Design and Analysis Unit, is an advanced intensive short course in the analysis of longitudinal data using SEM.
The course will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data. Topics will include design and measurement issues in longitudinal research, traditional panel designs, latent growth curve analysis, growth mixture modeling, multi-level SEM with longitudinal data and dynamic intra-individual modeling.
Todd D. Little of the University of Kansas Department of Psychology and the Schiefelbusch Institute for Life Span Studies leads the course. Little is known internationally for his ability to communicate often-complicated SEM material to audiences at all levels of experience and background.
The five-day institute sessions will be Monday – Friday from 9:00 a.m. to 5:00 p.m. each day.
Comments from Past Participants
"Wow, I'm going to go back home and try to use SEM for everything because of all the problems with other ways of doing it that I know about now. Then my advisor will frown at me and not understand what I'm doing. Thanks guys!" – Anonymous comment
"The instructors (Todd & Noel) succeeded in delivering the foundations and advanced applications of SEM in a clear and informative manner. Participants became comfortable in running their own models in LISREL. Optional evening sessions helped for personal data analysis projects. It was a rewarding experience, due to the superb teaching skills of the instructors combined with their noted academic skills the instructors have contributed numerous influential papers in the realm of SEM. This course is highly recommended to anyone eager to learn about SEM in a very compact course format." – Detlef Schoder, Professor of Business, University of Cologne
Objectives
The five-day advanced training institute on the applications of SEM to longitudinal data will enable participants to:
- Understand the strengths and weaknesses of the different models that can be applied to longitudinal data
- Develop a clear understanding of how the models can be specified and adapted to address the specific needs and questions of the investigator.
- Gain knowledge of the ways in which one should formulate models, test alternative models, and evaluate models with regard to statistical and practical significance.
- Become proficient in the use of the program(s) LISREL 8.8x and/or Mplus 5.x for analysis of structural models as they apply to longitudinal data. .
Comments from Past Participants
"I traveled all the way from New Zealand to attend this workshop and I was not disappointed. I found the content to be well organized, interesting, useful and skillfully presented by Todd and Noel. Todd included cutting edge innovations to the field of SEM as well as the basics so I feel that my knowledge base and related skills were refreshed and extended significantly by the very worth while week. I would recommend this experience to anyone wishing to obtain a solid foundation in SEM as well as anyone who seeks to become conversant with the latest "high end" skills and strategies. As they say down under, "Good on ya, mates!" – Paul Jose, Senior Lecturer, Victoria University of Wellington
Audience
If you already have a strong background in the application of SEM to analyze the covariance structure of multivariate data and you need to learn how to apply more advance models to longitudinal data, this course is for you. We strongly recommend that you attend our five-day intensive summer institute on the foundations of SEM as a pre-requisite to taking this five-day advanced course. If you have not taken the foundations seminar, you should have extensive experience or have taken a graduate-level course on SEM before enrolling.
Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the course.
The course will emphasize LISREL 8.8x and Mplus 5.x equally, as well as SAS®. Some assistance will be available for questions related to other structural modeling packages. Previous knowledge of LISREL or Mplus is preferred but not required.
Comments from Past Participants
"I am really glad that I decided to attend this training. The information that was taught gave me a strong conceptual understanding of structural equation modeling, the flexibility it introduces to analyzing substantive research questions, and a strong foundation for using it in my own research. This is not information that I was able to learn on my own by reading a book chapters, review articles, etc.; this training was absolutely essential to the learning process. Aside from the content, these two instructors were incredibly knowledgeable, approachable, and able to translate complex concepts into understandable language. The opportunity to network with individuals who are also interested in using this technique was also invaluable. Overall, this was an excellent investment of my professional and personal time. Thank you!" – Laura Gil-Trejo, Graduate Student, University of California, Irvine
Instructors
Todd D. Little, Ph.D., is a professor of quantitative psychology at the University of Kansas and director of the KU Research Design and Analysis Unit. He holds a Ph.D. in developmental psychology from the University of California-Riverside.
Software and Computer Support
Students should bring a laptop with a fully functioning version of Mplus, LISREL, or lavaan (in R) software. The lavaan software is a freeware package that also has a LISREL to lavaan translator and is fully supported in the Window's or Mac environments. Students who do not have access to software will be given temporary access to our WinStat system that contains fully functioning versions of our supported and recommended SEM software.
You will receive a thumb drive containing all course materials, including PowerPoint slides, LISREL and Mplus scripts, output files, relevant supporting documentation, and recommended readings
Syllabus
Structural Equation Modeling: Advanced Longitudinal Modeling
Todd D. Little
University of Kansas
| Monday | June 10, 2013 |
| 9:00 – 9:45 | Welcome & Introductions |
| 9:45 – 10:30 | Introduction to longitudinal analysis |
| 10:30 – 12:00 | Panel Models I: Traditional Individual Difference Panel Models and general specification issues in SEM (null models, identification constraints, etc.) |
| 12:00 – 1:00 | Lunch * |
| 1:00 – 3:00 | Panel Models II: Multiple-Group Panel Models the CFA (testing invariance, evaluating model fit) |
| 3:15 – 5:00 | Panel Models III: Multiple-Group Panel Models the SEM (testing direct effects overtime and across groups) |
| 5:00 – 8:30 | Free BBQ (burgers, veggie burgers, brats) and open beer/wine bar at Holiday Inn |
| Tuesday | June 11, 2013 |
| 9:00 – 10:30 | Latent Difference Scores in Longitudinal Work |
| 10:45 – 12:00 | Panel Models V: Testing Moderation in Panel Models |
| 12:00 – 1:00 | Lunch * |
| 1:00 – 2:45 | Panel Models VI: Accelerated Designs |
| 3:00 – 5:00 | Summary/Q&A on Panel Models |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Wednesday | June 12, 2013 |
| 9:00 – 10:30 | Latent Difference Scores in Longitudinal Work |
| 10:45 – 12: 00 | Growth Curve Modeling I: Introduction, Testing trends |
| 12:00 – 1:00 | Lunch * |
| 1:00 – 3:00 | Growth Curve Modeling II: Multivariate Models |
| 3:15 – 5:00 | Growth Curve Modeling III: Alternative parameterizations for nonlinear growth; combining growth curves and panel models |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Thursday | June 13, 2013 |
| 9:00 – 10:30 | Growth Curve Modeling IV: Multiple (known) groups |
| 10:45 – 12:00 | Growth Curve Modeling V: Unbalanced and incomplete data designs |
| 12:00 – 1:00 | Lunch * |
| 1:00 – 3:00 | Growth Curve Modeling VI: Identifying latent classes/trajectories |
| 3:15 – 5:00 | Individual Consultation |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Friday | June 14, 2013 |
| 9:00 – 10:30 | Dynamic P-technique I: Introduction to logic of Dynamic P-Technique |
| 10:45 – 12:00 | Dynamic P-technique II: Dynamic models in SEM |
| 12:00 – 1:00 | Lunch * |
| 1:00 – 4:00 | Individual Consultations |
* Our group lunch is included in the Holiday Inn room rate and tickets for the group lunch are also available for purchase for those not staying at the Holiday Inn. There are other lunch options in Lawrence as well.
Course Files
Below are links to course files for those who enrolled in the course. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.
Coming soon.
Contact Information
For information on course content, contact Todd D. Little.
A full list of prices and fellowship opportunities for this course and all the courses offered at this year's Summer Institutes in Statistics can be found on the Fees and Registration Page.